School of Management & Entrepreneurship

&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

IIT Jodhpur

Purpose - The changes in social and cultural framework, and even more in the economic order, have pushed the education system and higher education in particular, into a new environment in which quality plays an important role. Thus, the purpose of the current study is to develop a multidimensional scale to measure service quality in higher education in the Indian context. Design/methodology/approach - The study, descriptive, diagnostic, and causal in nature, has been conducted on students of higher education, particularly technical education in India. A questionnaire consisting of 26 items was developed to measure the service quality construct and its dimensions. Construct validation using exploratory factor analysis showed an interpretable latent structure consisting of seven dimensions. Findings - It was observed that service quality in higher education setting comprises seven dimensions viz., input quality, curriculum, academic facilities, industry interaction, interaction quality, support facilities and non academic processes. Research limitations/implications - The study holds implications for institutes of technical education in India that seek to improve the quality of service that they provide. The scale developed can be used by practitioners as a diagnostic tool for identifying poor and/or excellent service performance. Originality/value - While studies in quality management for education have been conducted, this study lays emphasis on the student as a customer of education, and proposes to develop a scale to measure their perception of service quality. The study is an attempt towards developing and empirically validating a measurement scale for service quality in higher education in the Indian context. © Copyright - 2013 Emerald Group Publishing Limited. All rights reserved.

World University root node

The TQM Journal

Developing a scale to measure students' perception of service quality in the Indian context

India has a large internet savvy population that is not only accessing the internet but also buying online. With a revolution in the very basics of transaction from a physical store format to a non-store one, the retail industry has begun to understand the indispensability of the internet as a medium of transaction. However, the rate of diffusion and adoption of the new phenomenon amongst consumers is still relatively low. Trust on online transactions is one of the key barriers to vendors succeeding in online transactions. A lack of trust discourages consumers from participating in online buying. With the internet advancing new opportunities, it is important to understand the factors that generate trust of Indian consumers in the online buying system. The purpose of this paper is to explore the determinants of trust in online buying behavior of consumers. This paper is a theoretical attempt at conceptualizing “trust” as a construct, in the context of online buying and testing it empirically. The objective of the study is to explore the critical online trust-creating factors that influence the online buying decision of people, and to establish their causal impact, if any, through developing an integrated model. The study, descriptive, diagnostic, and causal in nature, was conducted in the context of online buying of railway tickets in India. In the first phase, a pilot survey was conducted on a sample of 100 users of the online railway reservation. After having tested the survey instrument for validity and reliability, the second phase of the study was conducted on a sample of 327 users of online railway reservation facilities. A series of multiple regressions analyses was conducted to determine the causal impacts of critical consumer trust parameters on online reservation of railway tickets by users in the Indian context. The analysis of demographics based on gender and age groups was also made to capture the cross-comparisons of critical online trust-related attributes. The factor analysis had grouped the items into four constructs with a total of 11 items. The item total correlations to each construct were found significant. All the critical online trust based constructs were found to have a significant impact on the intention of buyers of booking/purchasing railway tickets online in India. The analyses of demographics established that all the critical consumer trust-based attributes to online buying intention have no significant differences for gender, whereas for age groups some of the attributes were found significant and others were not. The process of online trust formation among the potential buyers depends on a host of factors. This present study has only explored a select number of constructs and remains a major limitation. Notwithstanding this limitation, there are significant theoretical implications for critical online trust constructs of consumers on online buying behavior in the Indian context. By examining the various dimensions explored and established in this study, the concerned authority can develop a better understanding of consumer needs and expectations. Academicians and researchers can use this study for assessing consumer trust towards online reservation of railway tickets in the Indian context, and identifying such attributes that would lead to the generation of online consumer trust towards online reservation of railway tickets. It provides insight into the impact of trust in online buying and the relationship between trust and buying behaviour. The policy decision makers of railway authority may also use the findings of this study as a resource, while constructing, managing, and evaluating their marketing strategies in the Indian context. © 2013, Emerald Group Publishing Limited. All rights reserved.

Journal of Asia Business Studies

Conceptualizing consumer “trust” in online buying behaviour: An empirical inquiry and model development in Indian context

Journal of the Japan Statistical Society

Asymptotic expansion of the percentiles for a sample mean standardized by GMD in a normal case with applications

International Journal of Indian Culture and Business Management

Impact of organisational sociotechnical system on managerial retention: a structural equation modelling approach

It may not be an overstatement that one of the most widely reported measures of variation involves S 2, the sample variance, which is also well-known to be alternatively expressed in the form of an U statistic with a symmetric kernel of degree 2 whatever be the population distribution function. We propose a very general new approach to construct unbiased estimators of a population variance by U statistics with symmetric kernels of degree higher than two. Surprisingly, all such estimators ultimately reduce to S 2 (Theorem 3.1). While Theorem 3.1 is interesting and novel in its own right, it leads to a newer interpretation of S 2 that is much broader than what is known in the statistical literature including economics, actuarial mathematics, and mathematical finance. © 2012 Springer-Verlag.

Statistical Papers

On a new interpretation of the sample variance

Journal of Combinatorics, Information \& System Sciences 38 (1-4)

On the class of U-statistics based two-sample test for location

We pay tribute to the remarkable work of Frank Anscombe published in 1952, who invented the random central limit theorem (random CLT). This path-breaking contribution subsequently influenced practically the whole spectrum of sequential analysis very heavily. It is a humble attempt on our part to briefly sketch the breadth of its impact by connecting Anscombe's work with some of the major developments in sequential analysis that came afterwards. © 2012 Copyright Taylor and Francis Group, LLC.

Sequential Analysis

A tribute to Frank Anscombe and random central limit theorem from 1952

University of Connecticut

Performance of U-Statistics Having Kernels of Degree Higher Than Two in Inference Problems with Applications

Excel Books

A Study on processes of meeting production targers in cold rolling mills in a steel organization

In India, the notion of Health Care Quality has become a relevant topic. Even though Quality Management processes such as Six Sigma have been proven in the health care industry in the United States, there is little record of Six Sigma implementation in India. Despite the lack of proven success in the country, Simplified Health Care, a prominent health care provider in North India, launched successful Six Sigma implementation, which was supplemented with other IT initiatives including Electronic Health Care Records. Simplified Health Care success is a testament for Six Sigma, despite challenges ahead. Copyright © 2012, IGI Global.